Triple
T22730250
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of Paris (1814) |
E562113
|
entity |
| Predicate | coalitionStrength |
P149502
|
FINISHED |
| Object | approximately 100000–120000 troops |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: approximately 100000–120000 troops | Statement: [Battle of Paris (1814), coalitionStrength, approximately 100000–120000 troops]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coalitionStrength Context triple: [Battle of Paris (1814), coalitionStrength, approximately 100000–120000 troops]
-
A.
coalitionLevel
Indicates the degree or intensity of cooperative alignment or partnership between entities within a coalition.
-
B.
coalitionPotential
Indicates the potential or likelihood that two or more entities can form a cooperative alliance or coalition.
-
C.
strengthCoalition
Indicates the degree to which a coalition is cohesive, influential, or capable of achieving its collective objectives.
-
D.
coalitionLed
Indicates that one entity serves as the primary leader or organizer of a coalition composed of multiple entities.
-
E.
coalitionType
Indicates the specific kind or category of coalition relationship that exists between the involved entities.
- F. None of above. chosen
Provenance (4 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69e24550859c81908727d91efc3a81b4 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f1792cb9cc8190a7c45032427bca1a |
completed | April 29, 2026, 3:21 a.m. |
| PD | Predicate disambiguation | batch_69eed2a971c0819088af574e40c9343f |
completed | April 27, 2026, 3:06 a.m. |
| PDg | Predicate description generation | batch_69eeeb5681f88190821129ced752f190 |
completed | April 27, 2026, 4:51 a.m. |
Created at: April 17, 2026, 3:21 p.m.